1 day ago
Base Salary
$152k - $288k/yr
Responsibilities
- Lead development of platform test infrastructure and workflows for validating autonomous vehicle systems at scale.
- Drive technical alignment across teams to integrate test infrastructure with CI/CD workflows.
- Improve integration efficiency for Tegra-based autonomous vehicle platforms.
- Collaborate with multifunctional engineering teams to integrate vehicle subsystem work into NVIDIA’s DRIVE software platform.
- Ensure platform work complies with relevant NVIDIA and automotive standards and guidelines.
Requirements
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
- 5+ years of systems software development experience.
- Proficiency in C, C++, and Python.
- Strong debugging skills in complex, multiprocessor embedded environments.
- Expertise in embedded systems and software/hardware cross-domain knowledge.
- Strong communication skills and the ability to align multiple cross-functional teams.
- Ability to work effectively in a multinational, multi-time-zone corporate environment.
- Experience with cloud services, Jenkins, and Docker in continuous integration and deployment systems is preferred.
- Knowledge of general-purpose and automotive network systems, including Ethernet and CAN, is preferred.
- Hands-on experience using AI tools is preferred.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and comparable employee compensation.
- Applications are accepted at least until September 20, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.